Conference item
Child-friendly programming interfaces to AI cloud services
- Abstract:
- AI cloud services are available for speech synthesis, speech recognition, image and video recognition, text analysis, and machine learning. School students could use these services in a wide variety of programming projects including voice commands to robots, chatbots, audio games, and vision-based robotics. In doing so they may learn about perception, language, psychology, and the latest empowering technologies. A major obstacle to using these services in schools is that they are technically complex APIs beyond the ability of most school students. The challenge addressed in this paper is how to provide interfaces that are much easier to use and yet still supports most of the functionality of these AI services. We describe the addition of new programming blocks to the Snap! visual programming language [1] that provide easy-to-use interfaces to these services. We have developed new blocks for speech input and output and image recognition. Learning materials have been developed and preliminarily trialed with a small number of children.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 238.2KB, Terms of use)
-
- Publisher copy:
- 10.1007/978-3-319-66610-5_64
Authors
+ European Union
More from this funder
- Grant:
- Horizon2020 Coordination&Research
- InnovationActionunderGrantAgreementNo731345
- Publisher:
- Springer, Cham
- Host title:
- EC-TEL 2017: Data Driven Approaches in Digital Education
- Journal:
- ECTEL 2017 More from this journal
- Volume:
- 10474
- Pages:
- 566-570
- Series:
- Lecture Notes in Computer Science
- Publication date:
- 2017-09-05
- Acceptance date:
- 2017-06-17
- DOI:
- ISSN:
-
0302-9743
- ISBN:
- 9783319666099
- Keywords:
- Pubs id:
-
pubs:710083
- UUID:
-
uuid:12124254-acce-4c11-a540-19e74530798d
- Local pid:
-
pubs:710083
- Source identifiers:
-
710083
- Deposit date:
-
2017-08-01
Terms of use
- Copyright holder:
- Springer International Publishing AG
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Springer International Publishing AG. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-319-66610-5_64
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